Improving Speaker Representations Using Contrastive Losses on Multi-scale Features

Speaker verification systems have seen significant advancements with the introduction of Multi-scale Feature Aggregation (MFA) architectures, such as MFA-Conformer and ECAPA-TDNN. These models leverage information from various network depths by concatenating intermediate feature maps before the pool...

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Bibliographische Detailangaben

Hauptverfasser:	Dixit, Satvik, Baali, Massa, Singh, Rita, Raj, Bhiksha
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Sound
Online-Zugang:	Volltext bestellen
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